A Mathematical Model of Tumor Volume Changes during Radiotherapy
Author
Wang, Ping; Feng, Yuanming
Abstract
Purpose. To develop a clinically viable mathematical model that quantitatively predicts tumor volume change during radiotherapy in order to provide treatment response assessment for prognosis, treatment plan optimization, and adaptation. Method and Materials. The correction factors containing hypoxia, DNA single strand breaks, potentially lethal damage, and other factors were used to develop an improved cell survival model based on the popular linear-quadratic model of cell survival in radiotherapy. The four-level cell population model proposed by Chvetsov et al. was further simplified by removing the initial hypoxic fraction and reoxygenation parameter, which are hard to obtain in routine clinics, such that an easy-to-use model can be developed for clinical applications. The new model was validated with data of nine lung and cervical cancer patients. Results. Out of the nine cases, the new model can predict tumor volume change in six cases with a correlation index R2 greater than 0.9 and the rest of three with R2 greater than 0.85. Conclusion. Based on a four-level cell population model, a more practical and simplified cell survival curve was proposed to model the tumor volume changes during radiotherapy. Validation study with patient data demonstrated feasibility and clinical usefulness of the new model in predicting tumor volume change in radiotherapy.
Date
2013
Citation:
APA:
Wang, Ping, & Feng, Yuanming. (January 2013).
A Mathematical Model of Tumor Volume Changes during Radiotherapy.
The Scientific World Journal,
2013(),
1-
5. Retrieved from
http://hdl.handle.net/10342/5728
MLA:
Wang, Ping, and Feng, Yuanming.
"A Mathematical Model of Tumor Volume Changes during Radiotherapy". The Scientific World Journal.
2013:. (1-5),
January 2013.
September 26, 2023.
http://hdl.handle.net/10342/5728.
Chicago:
Wang, Ping and Feng, Yuanming,
"A Mathematical Model of Tumor Volume Changes during Radiotherapy," The Scientific World Journal 2013, no.
(January 2013),
http://hdl.handle.net/10342/5728 (accessed
September 26, 2023).
AMA:
Wang, Ping, Feng, Yuanming.
A Mathematical Model of Tumor Volume Changes during Radiotherapy. The Scientific World Journal.
January 2013;
2013():
1-5.
http://hdl.handle.net/10342/5728. Accessed
September 26, 2023.
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